Age-Related Differences in Speech and Gray Matter Volume: The Modulating Role of Multilingualism.

IF 4.7 2区 医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2025-03-16 DOI:10.1016/j.neuroimage.2025.121149
Hanxiang Yu, Keyi Kang, Christos Pliatsikas, Yushen Zhou, Haoyun Zhang
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引用次数: 0

Abstract

Speech involves complex processes like language formulation, motor coordination, and cognitive functions. As people age, their speech abilities often decline, showing reduced fluency and complexity. Older adults also show decreased gray matter volume. However, the relationship between age-related differences in speech and gray matter volume remain unclear. Multilinguals may exhibit unique age-related speech patterns depending on their language profiles. This study investigates the relationships between age-related differences in brain structure and multilingual speech across different languages, considering the effects of multilingual experience. An integrated measure of speech was calculated and used to reflect the overall speech quality, which was lower in older than younger adults. Native language speech (i.e., Cantonese) was higher than non-native language speech (i.e., Mandarin), especially in older adults. More extensive use of multiple languages was associated with enhanced speech quality in both native and non-native languages. Age significantly impacts whole brain gray matter volume, which was lower in older than younger adults. The right middle temporal gyrus emerged as a critical region for speech in both languages in older adults. Bilateral putamen shows sensitivity to the effect of multilingual experience on speech performance in older adults. These findings underscore the complex interplay between age, multilingualism, and brain structure, providing valuable insights into the neural mechanisms underlying multilingual speech performance.

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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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